feat(evolution): flag self-evolution bubbles in UI and relax MEMORY.md writes

agent/evolution/prompts.py

@@ -79,13 +79,14 @@ them. When their signal is clear, act; do not be shy here.
    Act ONLY on something the main assistant clearly MISSED that does not belong
    in any skill.
    - MEMORY.md is the curated long-term index, auto-loaded into EVERY future
-     conversation. Treat it as precious: writing here is RARE and reserved for
-     CORRECTING a wrong fact already in MEMORY.md (edit that line in place).
-     Do NOT append new entries to MEMORY.md — that is the nightly pass's job.
-   - For a genuinely important NEW durable fact the chat missed, append ONE
-     short bullet to today's `memory/YYYY-MM-DD.md` (not MEMORY.md). When unsure,
-     the daily file is the safe place — but first ask whether this really
-     belongs in a skill instead.
+     conversation. Treat it as precious: edit it in place to CORRECT a wrong
+     fact, or append a new durable preference/decision/lesson — but do so
+     SPARINGLY (a lasting fact, not a passing detail; the nightly pass handles
+     routine consolidation).
+   - For a NEW fact that is important but not yet clearly lasting, append ONE
+     short bullet to today's `memory/YYYY-MM-DD.md` instead. When unsure, the
+     daily file is the safe place — but first ask whether this really belongs
+     in a skill.
    - Keep it to ONE short bullet. Never write paragraphs, never re-summarize the
      conversation, never copy what the main assistant already recorded.
    - If it is already captured anywhere (check MEMORY.md AND the daily file

agent/memory/conversation_store.py

@@ -124,6 +124,11 @@ def _is_internal_user_marker(text: str) -> bool:
     return any(t.startswith(m) for m in _SCHEDULED_DISPLAY_MARKERS)
 
 
+def _is_evolution_text(text: str) -> bool:
+    """True if assistant text is a self-evolution summary (before cleaning)."""
+    return (text or "").lstrip().startswith(_EVOLUTION_DISPLAY_MARKER)
+
+
 def _clean_display_text(text: str) -> str:
     """Strip internal markers from assistant text for user-facing display.
 
@@ -306,6 +311,10 @@ def _group_into_display_turns(
                 step["result"] = tr.get("result", "")
                 step["is_error"] = tr.get("is_error", False)
 
+        # Detect a self-evolution bubble BEFORE cleaning the marker away, so the
+        # UI can flag it even though the visible text stays clean.
+        is_evolution = _is_evolution_text(final_text)
+
         # Clean internal markers from the user-facing assistant text. Applies to
         # both the final content and the mirrored content step so the rendered
         # bubble shows clean text while the stored message keeps the markers.
@@ -321,6 +330,8 @@ def _group_into_display_turns(
                 "steps": steps,
                 "created_at": final_ts or (user_row[1] if user_row else 0),
             }
+            if is_evolution:
+                turn["kind"] = "evolution"
             if merged_extras:
                 turn["extras"] = merged_extras
             turns.append(turn)

channel/web/static/js/console.js

@@ -124,6 +124,7 @@ const I18N = {
         config_max_steps: '最大执行步数', config_max_steps_hint: '单次对话中 Agent 最多调用工具的次数',
         config_enable_thinking: '深度思考', config_enable_thinking_hint: '是否启用深度思考模式',
         config_self_evolution: '自主进化', config_self_evolution_hint: '会话空闲后自动复盘，沉淀记忆、优化技能、处理未完成事项',
+        evolution_badge: '自主学习',
         config_channel_type: '通道类型',
         config_provider: '模型厂商', config_model_name: '模型',
         config_custom_model_hint: '输入自定义模型名称',
@@ -327,6 +328,7 @@ const I18N = {
         config_max_steps: 'Max Steps', config_max_steps_hint: 'Max tool calls the Agent can make in a single conversation',
         config_enable_thinking: 'Deep Thinking', config_enable_thinking_hint: 'Enable deep thinking mode',
         config_self_evolution: 'Self-Evolution', config_self_evolution_hint: 'Auto-review idle conversations to consolidate memory, improve skills, and follow up on unfinished tasks',
+        evolution_badge: 'Self-learned',
         config_channel_type: 'Channel Type',
         config_provider: 'Provider', config_model_name: 'Model',
         config_custom_model_hint: 'Enter custom model name',
@@ -2886,10 +2888,20 @@ function createBotMessageEl(content, timestamp, requestId, msg) {
         stepsHtml = renderThinkingHtml(reasoning) + renderToolCallsHtml(toolCalls);
     }
 
+    // Self-evolution bubbles get a small badge so the user can feel the agent
+    // learned something on its own (text itself stays clean).
+    const evolutionBadge = (msg && msg.kind === 'evolution')
+        ? `<div class="flex items-center gap-1 mb-1.5 text-xs text-slate-400 dark:text-slate-500">
+                <i class="fas fa-seedling text-[11px]"></i>
+                <span>${t('evolution_badge')}</span>
+           </div>`
+        : '';
+
     el.innerHTML = `
         <img src="assets/logo.jpg" alt="CowAgent" class="w-8 h-8 rounded-lg flex-shrink-0">
         <div class="min-w-0 flex-1 max-w-[85%]">
             <div class="bg-white dark:bg-[#1A1A1A] border border-slate-200 dark:border-white/10 rounded-2xl px-4 py-3 text-sm leading-relaxed msg-content text-slate-700 dark:text-slate-200">
+                ${evolutionBadge}
                 ${stepsHtml ? `<div class="agent-steps">${stepsHtml}</div>` : ''}
                 <div class="answer-content">${renderMarkdown(displayContent)}</div>
                 <div class="bot-audio-slot"></div>